Ashish V Bamba Portfolio Page

UC San Diego · Student Organization

Apr 2025 – Present · 8 mos

Technical Writer | AI & Software Topics

Apr 2025 – Present · 8 mos

Drove TechTalks podcast launch, translating 15+ interviews (incl. Google & OpenArt guests) into long-form, publish-ready articles.
Coordinated with engineers, PMs, and designers to capture accurate technical detail while keeping content accessible.

Cross-functional Team Leadership Technical Writing

Software Developer/Researcher - Machine Learning

Apr 2025 – Present · 8 mos

⁠Built modular, AI-driven platform in Python, enabling E2E translation between audio, symbolic notation, & sheet music, securing awards at SoCal AI Responsibility Summit (SAIRS 2025) and San Diego Tech Conference (SDTC)
Engineering a sequence-to-sequence (seq2seq) hybrid architecture solution for Instrument Transposition (IT) by pairing a deterministic pre-filter with transformer encoder–decoder model to generate target-instrument MIDI

Python Machine Learning Transformers

Jun 2025 – Sep 2025 · 4 mos

Software Engineer Intern

Los Angeles County, CA · On-site

Architected backend workflows (using Java microservices & ReactJS) to revamp client's dining reservation system, orchestrating data storage in Cloud SQL (GCP) enabling real-time consistent, reliable bookings for 1000+ diners
Engineered REST APIs to support high-throughput search with sub-100ms latency, integrated client authorization, optimized search via caching, & implemented client/server-side validation for high-traffic, conflict-free bookings.

Java ReactJS REST APIs GCP Cloud SQL

Feb 2025 – May 2025 · 4 mos

AI/ML Starter-Kit Developer

San Diego, CA

Led end-to-end development of Python-based scikit-learn educational kits for TritonHacks, accelerating onboarding by engineering modular implementations of KNN, Logistic Regression, Random Forest, & MLP classifiers.
Developed reproducible ML workflows (Pandas data ingestion/cleaning, Seaborn analysis, balanced data with RUS) packaged with evaluation templates (precision, recall, AUC-ROC) to accelerate participant model development.
Led weekly workshops, labs, and discussions to mentor 120+ students across multiple workshops, presenting supervised ML concepts, code walk-throughs, & best practices for model training, validation, & error analysis.

Python Scikit-Learn Pandas Seaborn Supervised ML Education

Jun 2022 – Aug 2022 · 3 mos

Clinical Assistant, Neurology Dept.

Los Angeles, CA

Logged 30+ hours of clinical support, managing ICU emergency cart inventory and assisting with critical supply access.
Helped streamline intake and discharge documentation for 100+ patients, reducing processing time through better coordination.

Patient Support Documentation Collaboration

About Me